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In this paper, a multiscale image decomposition method based on domain transform is proposed. The domain transform is a high speed edge preserving smoothing method and can be used to many image processing applications. However, it is highly sensitive to noise. The proposed method is based on filters used in the domain transform but is designed to be robust to noise by employing a multiscale method...
Network communities exist as clusters of nodes whose intra-edge connectivity is stronger than edge connectivities between nodes from different clusters. Among others, identification of hidden communities unveils shared functional roles in biological networks, and assigns individuals in social networks to consumer groups for more targeted advertising. This is a rather challenging task in large-size...
Line drawing from a 1938 architectural plan drawn on linen was successfully extracted using Difference-of-Gaussian (DoG) filters. Compared to traditional edge detection and image segmentation techniques, the DoG filter was able to exclude canvas weave patterns and stain without additional morphological operations. The output image using DoG filter can be used for vectorizing the extracted architectural...
Over the last few years, industry and academia have been shifting towards computer aided models for seismic interpretation because manual labeling and salt dome delineation is becoming very time consuming and labor intensive as the volume of seismic data is in the order of tera-bytes. In this paper, we have proposed an edge-based active contour with an arc length penalty using level set implementation...
Removing noise from images usually results in smoothing of edges and areas with discontinuities. Such nonsmooth areas however play a significant role in the perception of image quality. This paper studies the restoration of these regions during denoising. We exploit the fact that the discontinuities in the pixel chromaticity in these regions are less abrupt than those in the pixel luminance. We derive...
A new Success Estimation Method (SEM) for image unmixing in spatially varying single-path mixing scenarios combining attenuation and spatial distortion, is presented. Staged Sparse Component Analysis is used for estimation of the mixing model and separation of the images. SEM, relying on the assumption of sparseness, inspired by the mask reconstruction method that is used in under-determined systems,...
The High Efficiency Video Coding (HEVC) standard achieves higher encoding efficiency than previous standards such as H.264/AVC. One key contributor to this improvement is the intra-prediction method that supports a large number of prediction directions at a cost of high computational complexity. Within the context of mobile devices with limited power and computational capabilities, reductions on encoding...
Recently we introduced an improved nearest neighborhood-based restoration (NNR) technique which when integrated in the second stage of the Adaptive Median Filter improved its performance in removing fixed valued impulse noise by giving an average increase of 7% in Peak Signal to Noise Ratio (PSNR) and 21% decrease in Mean Absolute Error (MAE). In our successive paper, we proposed a new adaptive center...
Steles are most important historical records of human civilizations, and most of them are collected by museums. Stele images are usually captured with flash compensation to the low-light condition of museum, resulting in annoying reflection spots due to the non-lambertian reflectance of polished stone steles. Observing that the reflection spots are bright at the center but fade away from the center,...
Powered by the pervasive penetration of inexpensive mobile devices and relevant APP's into our daily life, QR codes have found a wide range of applications in recent years. Therefore, the processing of the images of QR codes (also referred to as QR images) is an important task. In this paper, we try to deal with the scenario wherein the QR code is printed or pasted (altogether also referred to as...
Due to the growth of internet and multimedia technology, there is a tremendous need for an efficient method of automatic video retrieval and storage process. Automatic annotation is one of the key solutions for the automatic retrieval or search of a particular scene based frames or a particular scene based videos from the huge video database. Video segmentation based on shot boundary detection (Cut...
This paper presents a new method to measure the separability between two different regions in SAR imagery, using the geodesic distance and the GI0 distribution. The method can be used in SAR image segmentation, among other applications. It is well known that the GI0 distribution is able to characterize different regions in monopolarized SAR imagery. It is indexed by three parameters: the number of...
This paper proposes a new graph-theory-based Euler number computing algorithm. The proposed algorithm only needs to count two bit-quad patterns in the given image, while conventional bit-quad-based algorithms need to count ten. Moreover, by use of the information obtained during processing previous pixels, the average number of pixel checked for processing a bit-quad in the proposed algorithm will...
The goal of Image Quality Assessment (IQA) is to design computational models that can automatically predict the perceived image quality consistent with human subjective ratings. In this paper, we propose a full reference IQA metric gradient weighted structural similarity (GW-SSIM) by incorporating the gradient information to the well-known IQA metric SSIM. Experimental results demonstrate that GW-SSIM...
Medical imaging suffers from image noise. To remove this noise spatial domain and transform domain techniques are used. But spatial domain techniques have limitation of edge blurring w.r.t transform based techniques. Therefore in this paper we have proposed a transform based denoising technique. We have used Dual tree DWT and Rotated version of Dual Tree DWT jointly to improve our denoising results...
The concept of cost function (CF) in the context of image filtering is put under investigation in this work. Optimal behaviour of the resulting filters in respect with noise attenuation and edge preservation is sought through the minimization of these functions. This behaviour can be controlled by proper adjustment of certain parameters in some cases. Function combinations are also considered. Finally,...
This paper describes the possibilities of automotive series production short range radar sensors in a vehicle environment for Highly Automated Driving. Four 24GHz sensors in our test vehicle provide measurements for an occupancy grid based environmental perception approach. Two example scenarios show the usage of the short range radar data for landmark detection and for free space estimation in construction...
Autonomous mobile robots have been developed in many types and functions so far. This paper mainly presents the functionalities of self-made tracked robots and its practicality. The robot can move, patrol, and cross floors autonomously in indoor environments. With the information gotten from the Xtion sensor, the movement modes developed in this paper help the tracked robot identify different environments...
In this paper, we propose a novel dehazing method for effectively enhancing complex texture regions by using entropy information. The proposed method improves a drawback of an existing method due to estimating an incorrect transmission map. The proposed method consisted of two steps. In the first step, for effectively estimating a transmission map, an entropy map is generated from YCbCr color space...
This paper presents a new region-of-interest(ROI) based compression scheme for video call applications in a preprocessing manner. In our application, ROI is the human region which is detected by a human/background segmentation method, and perceptually less important details are removed by applying the edge-preserving spatio-temporal filter to the background regions. In order to obtain the accurate...
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